An extension of likelihood-ratio-test for testing linear hypotheses in the baseline-category logit model

DOI10.1016/j.csda.2007.04.007zbMath1452.62198OpenAlexW1966622151MaRDI QIDQ1023473

María del Carmen Pardo, Leandro Pardo

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.04.007

zbMATH Keywords

linear hypothesesbaseline-category logit modelextended likelihood ratio test statistics

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03)

Related Items (2)

Preliminary phi-divergence test estimators for linear restrictions in a logistic regression model ⋮ Minimum \(\phi\)-divergence estimation in misspecified multinomial models

Cites Work

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• Minimum \(\phi\)-divergence estimator in logistic regression models
• A new family of BAN estimators for polytomous logistic regression models based on \(\varphi\)-diver\-gence measures
• Theory of statistical inference and information. Transl. from the Slovak by the author
• Minimum \(\phi\)-divergence estimators with constraints in multinomial populations
• The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
• THE DISTRIBUTION OF GENERAL QUADRATIC FORMS IN NORMA

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